Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rshankras/claude-code-apple-skills --skill typographygit clone --depth 1 https://github.com/rshankras/claude-code-apple-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rshankras/claude-code-apple-skills/typography)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/typography"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/typography.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 40 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.01560 |
| Opus 5 | $0.00036 | $0.00780 |
| Sonnet 5 | $0.00015 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
typography scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Typography
Type is most of your UI. The system does the hard parts — optical sizes, tracking tables, Dynamic Type — if you use its APIs. This skill covers when to trust the system, how to build hierarchy deliberately, and what custom fonts owe you back.
When This Skill Activates
- Choosing fonts or building a type hierarchy for a screen or app
- Text truncating, cramping, or breaking under larger Dynamic Type sizes
- Adopting a custom/brand font (and keeping accessibility)
- Display typesetting: hero numbers, stats, editorial headlines
Rule 1: text styles first
Predefined styles (Large Title → Caption 2) are weight + size + leading combos with Dynamic Type support built in — and different styles scale differently (body grows more than footnote), which manual font sizes can't replicate.
- Build hierarchy from 2–3 text styles + emphasized variants (bold trait — the actual weight varies per style: some go medium→semibold, others bold→heavy) before reaching for new fonts.
- Semantic colors + text styles together give dark mode, contrast, and Dynamic Type for free.
- macOS supports text styles (without Dynamic Type); design Mac type at 100% — no iOS-style scaling assumptions.
Rule 2: let optical sizes and tracking work
- San Francisco blends Text→Display designs continuously between 17 and 28pt (below: sturdier letterforms, looser tracking for legibility; above: tighter, more refined). System font APIs do this automatically — hardcoded single-cut fonts don't.
- Tracking, not kerning, for letterspacing — tracking is size-specific and lets the OS disable clashing features (ligatures). Override system tracking only in exceptional cases.
- Truncation pressure? Use
allowsTightening(default-tightening-for-truncation) instead of manually squeezing — and prefer wrapping to truncating (line limit 0 on labels that matter). - Line height moves only via leading traits: tight = −2pt, loose = +2pt (±1pt on watchOS); the system adds leading automatically for tall scripts (Arabic, Devanagari).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 121 lines · 73 tokens per session scan A 2405f22fbb2d
typography is a skill published in the GitHub repository rshankras/claude-code-apple-skills (710 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,560 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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